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Impact of Integrated Care on the Rate of Hospitalization for Ambulatory Care Sensitive Conditions among Older Adults in Stockholm County: An Interrupted Time Series Analysis Cover

Impact of Integrated Care on the Rate of Hospitalization for Ambulatory Care Sensitive Conditions among Older Adults in Stockholm County: An Interrupted Time Series Analysis

Open Access
|Jun 2021

Figures & Tables

Table 1

Timeline of the implementation of integrated care (IC) in Norrtälje.

Table 2

Demographic changes in Norrtälje from 2000 to 2011.

200020012002200320042005200620072008200920102011
N102491046010660108011092111114113301170412242128321310313893
Age (mean)75.6975.775.7175.7175.6975.6675.5675.4375.1974.9874.7574.71
Sex (%)
    Men45.2945.3845.5445.7245.8346.0746.4446.6946.847.1147.1547.47
Living situation (%)
    Cohabitating55.7551.6352.1451.2854.6954.6754.4354.9455.6156.1156.4556.55
    Alone44.2543.343.0243.7445.3145.3345.5745.0644.3943.8943.5543.45
    Missing5.084.844.98
Figure 1

Results from the generalised additive model of the change in rate of hospitalisation for ACSC (The dots represent the actual observations).

Figure 2

Linear trends in hospitalisation rates for ACSC before and after the introduction of IC in Norrtälje (The dots represent the actual observations).

Figure 3

Trends in the relative difference in hospitalisation rates between Norrtälje and Stockholm before and after the introduction of IC (The dots represent the actual observations).

Table 3

Results from the linear regression models.

TREND BEFORE ICTREND CHANGE AFTER IC
VALUEp-VALUEVALUEp-VALUE
Rate of hospitalisation for ACSC
    Population 65+ in Norrtälje0.10180.0481–0.24410.008
    Population 80+ in Norrtälje–0.09660.37480.25100.189
    Relative Index of Inequality for the population of Norrtälje0.00460.6027–0.00210.892
Relative difference in rate of hospitalisation for ACSC in Norrtälje compared to the matched control group
    Population 65+0.0040.2478–0.01170.083
    Population 80+–0.0070.1050.00960.184
Table 4

Results from the generalised additive model and a linear model of the rate of hospitalisation for ACSC in Norrtälje among individuals with low income. The results correspond to the lines in Figure 4 in the following way: GAM model 1 = black line; GAM model 2 = red line; GAM model 3 = blue line; Linear model = green line.

GAM MODEL 1GAM MODEL 2GAM MODEL 3LINEAR MODEL
VALUEp-VALUEVALUEp-VALUEVALUEp-VALUEVALUEp-VALUE
Intercept15.11<0.00127.60<0.00138.643<0.00113.82<0.001
Timen.a.n.a.n.a.0.1820.056
Trend 2006–1.9990.005–3.527<0.001–0.5830.005
Trend 2010–1.9830.0160.6450.155
AIC268.27260.48254.96267.31
Figure 4

Results from the generalised additive model of the change in rate of hospitalisation for ACSC among the lowest income group (Black = Empty model; Red = adding a linear trend change after 2006; Blue = adding a second trend change after 2010; Green = Linear model with two trend changes using ordinary least squares; The dots represent the actual observations).

DOI: https://doi.org/10.5334/ijic.5505 | Journal eISSN: 1568-4156
Language: English
Submitted on: Mar 18, 2020
Accepted on: Feb 23, 2021
Published on: Jun 9, 2021
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2021 Janne Agerholm, Antonio Ponce de Leon, Pär Schön, Bo Burström, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.